Showing 66,041 - 66,060 results of 118,707 for search '(( a mean decrease ) OR ( 5 ((step decrease) OR (((we decrease) OR (a decrease)))) ))', query time: 1.98s Refine Results
  1. 66041

    Image_1_Implication of the Type IV Secretion System in the Pathogenicity of Vibrio tapetis, the Etiological Agent of Brown Ring Disease Affecting the Manila Clam Ruditapes philippi... by Alexandra Rahmani (10718082)

    Published 2021
    “…This study demonstrated that the T4SS is neither responsible for the loss of hemocyte adhesion capacities, nor for the decrease of the lysosomal activity during BRD. Nevertheless, we observed a 50% decrease of the BRD prevalence and a decrease of mortality dynamics with the ΔvirB4 mutant. …”
  2. 66042

    The associations between H3K9me3 density of genes and their neighborhood TE content. by Yuh Chwen G. Lee (156484)

    Published 2015
    “…The median, mean, and maximum number of TEs in specific windows are (1) in gene: 0 (median), 0.0523 (mean) and 8 (maximum), (2) 0-1kb: 0 (median), 0.0555 (mean), and 4 (maximum), (3) 1-2kb: 0 (median), 0.0341 (mean), 2 (maximum), (4) 2-5kb: 0 (median), 0.101 (mean), and 5 (maximum), and (5) 5-10kb: 0 (median), 0.158 (mean), and 7 (maximum). …”
  3. 66043

    PRSS56 activity is required during both the vision-independent and dependent stages of ocular growth. by Seyyedhassan Paylakhi (4951933)

    Published 2018
    “…Reduced ocular axial length was associated with a significant decrease in VCD in <i>Prss56</i><sup><i>F/F</i></sup><i>; Ubc-Cre</i><sup><i>ERT2</i></sup> mice compared to <i>Prss56</i><sup><i>F/+</i></sup><i>; Ubc-Cre</i><sup><i>ERT2</i></sup> and uninjected controls at P30 and P45, N = 5 to 10 per group (<b>G</b>). …”
  4. 66044

    Resveratrol exhibits dual effects on adult hippocampal precursor cells <i>in vitro</i>. by Mario Torres-Pérez (840055)

    Published 2016
    “…(<b>C)</b> Cell proliferation determined by BrdU incorporation showed a significant decrease with 10 μM RVTL (*<i>p</i> < 0.001). …”
  5. 66045

    Optimal Serotype Compositions for Pneumococcal Conjugate Vaccination under Serotype Replacement by Markku Nurhonen (280168)

    Published 2014
    “…Applying a concise predictive model, we present a ready-to-use quantitative tool to investigate the implications of serotype replacement on the net effectiveness of vaccination against invasive pneumococcal disease (IPD) and to guide in the selection of optimal vaccine serotype compositions. …”
  6. 66046

    Hyperglycaemia-induced post-translational regulation of VEGF. by Michela M. Taiana (636319)

    Published 2014
    “…<p>(A) Exposure to glucose 45 mM for 24 hours increased the level of secreted VEGF in neuron-SC co-cultures and SC monocultures. …”
  7. 66047

    Image_3_Profiling the Urinary Microbiota in Male Patients With Bladder Cancer in China.TIF by Peng Wu (210686)

    Published 2018
    “…We observed increased bacterial richness (Observed Species, Chao 1 and Ace indexes; cancer vs. control; 120.0 vs. 56.0; 134.5 vs. 68.3; and 139.6 vs. 72.9, respectively), enrichment of some bacterial genera (e.g., Acinetobacter, Anaerococcus, and Sphingobacterium) and decrease of some bacterial genera (e.g., Serratia, Proteus, and Roseomonas) in cancer group when compared to non-cancer group. …”
  8. 66048

    Table_3_Profiling the Urinary Microbiota in Male Patients With Bladder Cancer in China.DOCX by Peng Wu (210686)

    Published 2018
    “…We observed increased bacterial richness (Observed Species, Chao 1 and Ace indexes; cancer vs. control; 120.0 vs. 56.0; 134.5 vs. 68.3; and 139.6 vs. 72.9, respectively), enrichment of some bacterial genera (e.g., Acinetobacter, Anaerococcus, and Sphingobacterium) and decrease of some bacterial genera (e.g., Serratia, Proteus, and Roseomonas) in cancer group when compared to non-cancer group. …”
  9. 66049

    Table_2_Profiling the Urinary Microbiota in Male Patients With Bladder Cancer in China.DOCX by Peng Wu (210686)

    Published 2018
    “…We observed increased bacterial richness (Observed Species, Chao 1 and Ace indexes; cancer vs. control; 120.0 vs. 56.0; 134.5 vs. 68.3; and 139.6 vs. 72.9, respectively), enrichment of some bacterial genera (e.g., Acinetobacter, Anaerococcus, and Sphingobacterium) and decrease of some bacterial genera (e.g., Serratia, Proteus, and Roseomonas) in cancer group when compared to non-cancer group. …”
  10. 66050

    Image_1_Profiling the Urinary Microbiota in Male Patients With Bladder Cancer in China.TIF by Peng Wu (210686)

    Published 2018
    “…We observed increased bacterial richness (Observed Species, Chao 1 and Ace indexes; cancer vs. control; 120.0 vs. 56.0; 134.5 vs. 68.3; and 139.6 vs. 72.9, respectively), enrichment of some bacterial genera (e.g., Acinetobacter, Anaerococcus, and Sphingobacterium) and decrease of some bacterial genera (e.g., Serratia, Proteus, and Roseomonas) in cancer group when compared to non-cancer group. …”
  11. 66051

    Image_4_Profiling the Urinary Microbiota in Male Patients With Bladder Cancer in China.TIF by Peng Wu (210686)

    Published 2018
    “…We observed increased bacterial richness (Observed Species, Chao 1 and Ace indexes; cancer vs. control; 120.0 vs. 56.0; 134.5 vs. 68.3; and 139.6 vs. 72.9, respectively), enrichment of some bacterial genera (e.g., Acinetobacter, Anaerococcus, and Sphingobacterium) and decrease of some bacterial genera (e.g., Serratia, Proteus, and Roseomonas) in cancer group when compared to non-cancer group. …”
  12. 66052

    Table_1_Profiling the Urinary Microbiota in Male Patients With Bladder Cancer in China.xlsx by Peng Wu (210686)

    Published 2018
    “…We observed increased bacterial richness (Observed Species, Chao 1 and Ace indexes; cancer vs. control; 120.0 vs. 56.0; 134.5 vs. 68.3; and 139.6 vs. 72.9, respectively), enrichment of some bacterial genera (e.g., Acinetobacter, Anaerococcus, and Sphingobacterium) and decrease of some bacterial genera (e.g., Serratia, Proteus, and Roseomonas) in cancer group when compared to non-cancer group. …”
  13. 66053

    Table_4_Profiling the Urinary Microbiota in Male Patients With Bladder Cancer in China.DOCX by Peng Wu (210686)

    Published 2018
    “…We observed increased bacterial richness (Observed Species, Chao 1 and Ace indexes; cancer vs. control; 120.0 vs. 56.0; 134.5 vs. 68.3; and 139.6 vs. 72.9, respectively), enrichment of some bacterial genera (e.g., Acinetobacter, Anaerococcus, and Sphingobacterium) and decrease of some bacterial genera (e.g., Serratia, Proteus, and Roseomonas) in cancer group when compared to non-cancer group. …”
  14. 66054

    Image_6_Profiling the Urinary Microbiota in Male Patients With Bladder Cancer in China.PDF by Peng Wu (210686)

    Published 2018
    “…We observed increased bacterial richness (Observed Species, Chao 1 and Ace indexes; cancer vs. control; 120.0 vs. 56.0; 134.5 vs. 68.3; and 139.6 vs. 72.9, respectively), enrichment of some bacterial genera (e.g., Acinetobacter, Anaerococcus, and Sphingobacterium) and decrease of some bacterial genera (e.g., Serratia, Proteus, and Roseomonas) in cancer group when compared to non-cancer group. …”
  15. 66055

    Table_6_Profiling the Urinary Microbiota in Male Patients With Bladder Cancer in China.DOCX by Peng Wu (210686)

    Published 2018
    “…We observed increased bacterial richness (Observed Species, Chao 1 and Ace indexes; cancer vs. control; 120.0 vs. 56.0; 134.5 vs. 68.3; and 139.6 vs. 72.9, respectively), enrichment of some bacterial genera (e.g., Acinetobacter, Anaerococcus, and Sphingobacterium) and decrease of some bacterial genera (e.g., Serratia, Proteus, and Roseomonas) in cancer group when compared to non-cancer group. …”
  16. 66056

    Image_2_Profiling the Urinary Microbiota in Male Patients With Bladder Cancer in China.TIF by Peng Wu (210686)

    Published 2018
    “…We observed increased bacterial richness (Observed Species, Chao 1 and Ace indexes; cancer vs. control; 120.0 vs. 56.0; 134.5 vs. 68.3; and 139.6 vs. 72.9, respectively), enrichment of some bacterial genera (e.g., Acinetobacter, Anaerococcus, and Sphingobacterium) and decrease of some bacterial genera (e.g., Serratia, Proteus, and Roseomonas) in cancer group when compared to non-cancer group. …”
  17. 66057
  18. 66058

    Data_Sheet_1_Estimation of potato above-ground biomass based on unmanned aerial vehicle red-green-blue images with different texture features and crop height.docx by Yang Liu (4829)

    Published 2022
    “…The results show that (i) potato crop height and AGB first increase and then decrease over the growth period; (ii) GDS and scales mainly affect the correlation between GLCM- and Gabor-based textures and AGB; (iii) to estimate AGB, GLCM-based textures of GDS1 and GDS30 work best when the GDS is between 1 and 5 cm and 10 and 60 cm, respectively (however, estimating potato AGB based on Gabor-based textures gradually deteriorates as the Gabor convolution kernel scale increases); (iv) the AGB estimation based on a single-type texture is not as good as estimates based on multi-resolution GLCM-based and multiscale Gabor-based textures (with the latter being the best); (v) different forms of textures combined with crop height using the LSSVM technique improved by 22.97, 14.63, 9.74, and 8.18% (normalized root mean square error) compared with using only all GLCM-based textures, all Gabor-based textures, the former combined with crop height, and the latter combined with crop height, respectively. …”
  19. 66059

    Text S1 - Antibody-Dependent Enhancement Infection Facilitates Dengue Virus-Regulated Signaling of IL-10 Production in Monocytes by Tsung-Ting Tsai (664001)

    Published 2014
    “…The relationship between the expression of CLEC5A, viral protein, and IL-10 in monocytes.</b> Immunostaining-based flow cytometric analysis (A and B) and ELISA analyses were used to detect the expression of CLEC5A, DENV NS4B, and IL-10 in THP-1, HL-60, and U937 cells without or with DENV 2 (MOI  = 1) infection for 48 h. …”
  20. 66060

    Effect of BAPTA-AM and ABT-737 on ionomycin-induced Δψ<sub>m</sub>. by Daniel Tornero (218854)

    Published 2011
    “…Afterwards, cells were washed in Krebs solution and Ionomycin (2 µM; Iono) was added and Δψ<sub>m</sub> was measured on-line as a decrease in TMRM fluorescence. Each data point represents mean ± S.E.M. of 15 individual cells from 3 different experiments.…”